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reproducible analysis pipelines (QIIME2, R, Python, or equivalent). Perform DNA extractions, barcoding, and library preparation for amplicon, and prepare metagenomic sequencing. Collaborate with a diverse team
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workflows using SQL, Python, and related tools. Use cloud-based data tools (e.g., OCI, Azure) as needed for data processing and analysis. Ensure compliance with data governance standards and maintain metadata
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strong programming skills in Python, and experience in at least one of the following areas: virtual reality development, machine learning, analyzing and modeling complex data, motion capture, character
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preferred. Experience with atmospheric models (e.g., GEOS-Chem, CMAQ) and skills in python, Fortran and high-performance computing are also desired. Position Status Full Time Posting Number 25FA0918 Posting
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for large relational databases using SAS, R, Python and/or SQL. Demonstrated oral and written communication skills, and the ability to present scientific findings in various formats and to compose manuscripts
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in a team and have a demonstrated record of public presentations at research conferences commensurate with a highly energetic research enterprise. Experience using MATLAB or Python scripting languages
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to the investigatory activities of the laboratory. Writes simulation software in Python and C++ for protein structure simulations and use of Artificial Intelligence (AI) driven prediction tools. Generates and analyzes
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. Certifications/Licenses Required Knowledge, Skills, and Abilities Laboratory or experimental research experience Experience with common programming languages (e.g., Python, Matlab) Experience working with big data
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Responsibilities include the following: Conducts research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Assists with data post-processing. Assists in programming using Python
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. Support data integrity, security, and appropriate access within data environments. Support the creation and maintenance of data pipelines and integration workflows using SQL, Python, and related tools. Use